Exploration of metastasis-related signatures in osteosarcoma based on tumor microenvironment by integrated bioinformatic analysis by Shiyao Liao, Xing Gao, Kai Zhou, Yao Kang, Lichen Ji, Xugang Zhong, Jun Lv

“…Methods: The high-throughput sequencing data was downloaded from the TARGET database and performed the ESTIMATE algorithm. Metastasis-related information was obtained from the GSE21257 dataset. …”
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Evaluation of a PCR-based lateral flow device for detecting Aspergillus and Candida species from clinical specimens by Ariff Khalid, Jacinta Santhanam, Mohd Nizam Tzar, Ang-Lim Chua, Sharifah Fadilah Abdul Wahid, Wan Rahiza Wan Mat, Raha Abd Rahman, Petrick Periyasamy

“…Methods: Three separate multiplexed PCR reactions were designed together with a testing algorithm, using biotin, digoxigenin and Tamra fluorophore-labelled fungal internal transcribed spacer universal fungal primers, fungal genera-specific primers, and species-specific primers to produce labelled PCR products that were detected on the LFA dipstick. …”
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Continuously relapsing (for two years) course of diarrheal variant of IBS (<i>Clinical case</i>) by Ye. A. Poluektova, S. Yu. Kuchumova, A. A. Kurbatova, A. A. Sheptulin, O. S. Shifrin, V. T. Ivashkin

“…By the example of clinical case to show modern algorithm of diagnostics and choice of pathogenically proved treatment for patient with continuously relapsing course of irritable bowel syndrome (IBS).Key points. …”
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Sandpiper optimization with hybrid deep learning model for blockchain-assisted intrusion detection in iot environment by Mimouna Abdullah Alkhonaini, Manal Abdullah Alohali, Mohammed Aljebreen, Majdy M. Eltahir, Meshari H. Alanazi, Ayman Yafoz, Raed Alsini, Alaa O. Khadidos

“…The beetle search optimizer algorithm (BSOA) method is used for the hyperparameter tuning procedure to increase the recognition outcomes of the CNN-SAE technique. …”
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Intraoperative evaluation of the intestinal wall viability by Nikita A. Adamenkov, Andrian V. Mamoshin, Viktor V. Dremin, Elena V. Potapova, Valery V. Shupletsov, Yuri V. Ivanov, Dmitry N. Panchenkov, Andrey V. Dunaev

“…The generally available method for visual evaluation of the intestine viability is not always valid in terms of determining the degree of intensity of the ischemic changes in the intestinal wall. The algorithm of determining the intestine viability includes the determination of the intestine color, the peristaltic motions, the pulsation and the blood filling of mesenteric vessels with dynamic evaluation of these signs after the injecting the local anesthetic drug solution into the mesenterium and after “warming” the intestine with towels soaked in warm sodium chloride solution. …”
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Design of a TSR-based project learning strategy for biochemistry undergraduate teaching and research labs: a case study by Camille R. Reaux, Shelby A. Meche, Jordan M. Grider, Soundharya Dhanabal, Tarikul I. Milon, Feng Chen, Wu Xu

“…A project-oriented learning approach based on the Triangular Spatial Relationship (TSR) algorithm has been developed. The TSR-based method was designed for protein 3D structural comparison, motif discovery and probing molecular interactions. …”
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Retrospective evaluation of multiplex PCR panel results from CSF samples in a university hospital by Funda Şahin, Nida Özcan, Erdal Özbek, Selahattin Atmaca, Hakan Temiz

“…Based on the performance of diagnostic tests, we propose an algorithm for the use of both syndromic and specific tests in patients at risk for meningitis/encephalitis. …”
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Development on Lua of a software module for determining the drop point of uncontrolled cargo from UAV of aircraft type with Ardupilot control system by Andrіi Humennyi, Pavlo Malashta, Serhii Oliynick, Oleksandr Pidlisnyi, Vitalii Aleinikov

“…The following results were obtained: a general algorithm for the operation of the software module for determining the point of dropping an unguided cargo was developed, a Lua script was developed to determine the point of dropping from heights up to 40 m, a Lua script was developed to determine the point of dropping from heights from 40 to 400 m relative to the ground surface, a Lua script was provided to determine the point of dropping from heights above 400 m relative to the ground surface, and the user interface of the software module was implemented. …”
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OPTIMIZATION OF ASYMMETRIC BILATERAL COMPLEX FENESTRATION SYSTEMS IN STATE ELEMENTARY SCHOOL CLASSROOMS IN INDONESIA by Dhafira Ramadhani, Rizki Armanto Mangkuto, R. Triyogo, Atthaillah

“…Furthermore, the RBFOpt algorithm was used through Opossum to conduct optimization. …”
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Image-Based Detection and Classification of Malaria Parasites and Leukocytes with Quality Assessment of Romanowsky-Stained Blood Smears by Jhonathan Sora-Cardenas, Wendy M. Fong-Amaris, Cesar A. Salazar-Centeno, Alejandro Castañeda, Oscar D. Martínez-Bernal, Daniel R. Suárez, Carol Martínez

“…Leukocyte detection employed optimal thresholding segmentation utility (OTSU) thresholding, binary masking, and erosion, followed by the connected components algorithm. Parasite detection used high-intensity region selection and adaptive bounding boxes, followed by a custom convolutional neural network (CNN) for candidate identification. …”
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Comprehensive Medical and Psychological Rehabilitation in War Trauma (clinical case) by O.A. Panchenko, A.V. Kabantseva, O.O. Zhogina, I.A. Serdyuk

“…The optimal restoration of the functions of the upper injured limb and the patient's health (physical, somatic, mental) was carried out according to the algorithm of comprehensive medical and psychological clinical rehabilitation. …”
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Identification of Hepatocellular Carcinoma Subtypes Based on Global Gene Expression Profiling to Predict the Prognosis and Potential Therapeutic Drugs by Cunzhen Zhang, Jiyao Wang, Lin Jia, Qiang Wen, Na Gao, Hailing Qiao

“…Finally, drug sensitivity was analyzed using the oncoPredict algorithm. <b>Results:</b> Two HCC subtypes with different gene expression profiles were identified, where subtype S1 exhibited a significantly shorter survival time. …”
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ALL-Net: integrating CNN and explainable-AI for enhanced diagnosis and interpretation of acute lymphoblastic leukemia by Abhiram Thiriveedhi, Swetha Ghanta, Sujit Biswas, Ashok K. Pradhan

“…Additionally, XAI techniques, specifically the Local Interpretable Model-Agnostic Explanations (LIME) algorithm is employed to interpret the model’s predictions, providing insights into the decision-making process of our ALL-Net CNN. …”
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Evidence Communication Rules for Policy (ECR-P) critical appraisal tool by Evangelos Danopoulos, John A. D. Aston, Aarushi Shah, Claudia R. Schneider

“…Domain-based judgement is derived from responses to the signalling questions and an accompanying algorithm, followed by an overall quality judgement. …”
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A Novel Approach to Optimize Key Limitations of Azure Kinect DK for Efficient and Precise Leaf Area Measurement by Ziang Niu, Ting Huang, Chengjia Xu, Xinyue Sun, Mohamed Farag Taha, Yong He, Zhengjun Qiu

“…An efficient pixel filter-based depth inpainting algorithm was then designed to inpaint void and flying pixels and restore consistent, high-confidence depth values within semantic regions. …”
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A multi-stage weakly supervised design for spheroid segmentation to explore mesenchymal stem cell differentiation dynamics by Arash Shahbazpoor Shahbazi, Farzin Irandoost, Reza Mahdavian, Seyedehsamaneh Shojaeilangari, Abdollah Allahvardi, Hossein Naderi-Manesh

“…To quantitatively evaluate our algorithm, extensive experiments were conducted using available annotated data, confirming the reliability and robustness of our method. …”
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Identifying and prioritizing appropriate strategies for customer loyalty in a mass environment (case study: clothing house) by Zahra Joorbonyan, Ali Sorourkhah, Seyyed Ahmad Edalatpanah

“…The present study aims to provide a combined approach for prioritizing customer loyalty strategies.Methodology: This research uses a matrix-based approach to robustness analysis, which can deal with complexity and uncertainty. The proposed algorithm combines it with strategic planning tools (strategies derived from strategic objectives and SWOT analysis) for prioritizing and selecting strategies. …”
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Predicting largest expected aftershock ground motions using automated machine learning (AutoML)-based scheme by Xiaohui Yu, Meng Wang, Chaolie Ning, Kun Ji

“…In contrast to classical machine learning techniques, AutoML requires minimal human involvement in model design, selection, and algorithm tuning. We collected 2500 sets of mainshock and in-situ aftershock recordings from a global database to train the AutoML model. …”
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Draft genome dataset of Streptomyces griseoincarnatus strain R-35 isolated from tidal pool sedimentsMendeley DataNCBI by Danielle Dana Mitchell, Jo-Marie Vreulink, Alaric Prins, Marilize Le Roes-Hill

“…The phylogenomic positioning of S. griseoincarnatus strain R-35 was determined using the Type Strain Genome Server (TYGS) and was found to be related to S. griseoincarnatus JCM 4381T, with a digital DNA-DNA hybridisation (dDDH) value of 84.1%, and an OrthoANIu value of 98.22%. The CARD RGI algorithm on Proksee predicted the presence of 6,107 antimicrobial resistance (AMR) features, 27 biosynthetic gene clusters (BGCs) were predicted using antiSMASH, while 189 carbohydrate-active enzymes (CAZymes) were predicted using dbCAN3. …”
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Machine learning-driven identification of critical gene programs and key transcription factors in migraine by Lei Zhang, Yujie Li, Yunhao Xu, Wei Wang, Guangyu Guo

“…The cell-type-specific expression (CELLEX) algorithm was employed to calculate specific expression profiles for each region, while non-negative matrix factorization (NMF) was applied to decompose gene programs within the single-cell data from these regions. …”
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